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Artificial humming bird with data science enabled stability prediction model for smart grids
Recent advancements in renewable energy provide a clean, alternative source to fossil
fuels. Smart grids (SGs) work by collecting data about customer requests, comparing them to …
fuels. Smart grids (SGs) work by collecting data about customer requests, comparing them to …
[HTML][HTML] Smart grid stability prediction model using neural networks to handle missing inputs
A smart grid is a modern electricity system enabling a bidirectional flow of communication
that works on the notion of demand response. The stability prediction of the smart grid …
that works on the notion of demand response. The stability prediction of the smart grid …
A comprehensive analysis of smart grid stability prediction along with explainable artificial intelligence
F Ucar - Symmetry, 2023 - mdpi.com
As the backbone of modern society and industry, the need for a more efficient and
sustainable electrical grid is crucial for proper energy management. Governments have …
sustainable electrical grid is crucial for proper energy management. Governments have …
[HTML][HTML] Smart grid stability prediction using Adaptive Aquila Optimizer and ensemble stacked BiLSTM
Background Smart grids, characterized by their ability to integrate renewable energy
sources and manage the dynamic balance between supply and demand, require …
sources and manage the dynamic balance between supply and demand, require …
[HTML][HTML] Enhanced random forest model for robust short-term photovoltaic power forecasting using weather measurements
Short-term Photovoltaic (PV) Power Forecasting (STPF) is considered a topic of utmost
importance in smart grids. The deployment of STPF techniques provides fast dispatching in …
importance in smart grids. The deployment of STPF techniques provides fast dispatching in …
[HTML][HTML] Meticulously intelligent identification system for smart grid network stability to optimize risk management
The heterogeneous and interoperable nature of the cyber-physical system (CPS) has
enabled the smart grid (SG) to operate near the stability limits with an inconsiderable …
enabled the smart grid (SG) to operate near the stability limits with an inconsiderable …
[HTML][HTML] Enhancing energy efficiency with smart grid technology: a fusion of TCN, BiGRU, and attention mechanism
R Wang - Frontiers in Energy Research, 2023 - frontiersin.org
Introduction: Smart Grid (SG) as an intelligent system has become a key element in the
efficient operation of the electrical grid. With the continuous increase in global energy …
efficient operation of the electrical grid. With the continuous increase in global energy …
[HTML][HTML] Intelligent power grid energy supply forecasting and economic operation management using the snake optimizer algorithm with Bigur-attention model
L Cui, J Liao - Frontiers in Energy Research, 2023 - frontiersin.org
This paper investigates smart grid energy supply forecasting and economic operation
management, with a focus on building an efficient energy supply prediction model. Four …
management, with a focus on building an efficient energy supply prediction model. Four …
GAN-GRID: A Novel Generative Attack on Smart Grid Stability Prediction
The smart grid represents a pivotal innovation in modernizing the electricity sector, offering
an intelligent, digitalized energy network capable of optimizing energy delivery from source …
an intelligent, digitalized energy network capable of optimizing energy delivery from source …
Enhancement of smartgrid stability by optimal energy management system (EMS) through deep learning
Electrical power networks depend on power system stability to provide dependable and
continuous operation. It speaks to a power system's capacity to continue operating in a …
continuous operation. It speaks to a power system's capacity to continue operating in a …